Xing Hu

Orcid: 0000-0003-0093-3292

Affiliations:
  • Zhejiang University, School of Software Technology, Ningbo, China
  • Peking University, Key Laboratory of High Confidence Software Technologies, China (former)


According to our database1, Xing Hu authored at least 31 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
The Lost World: Characterizing and Detecting Undiscovered Test Smells.
ACM Trans. Softw. Eng. Methodol., March, 2024

Poison Attack and Poison Detection on Deep Source Code Processing Models.
ACM Trans. Softw. Eng. Methodol., March, 2024

Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction.
IEEE Trans. Software Eng., February, 2024

Evaluating Large Language Models with Runtime Behavior of Program Execution.
CoRR, 2024

Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models.
CoRR, 2024

2023
CodeEditor: Learning to Edit Source Code with Pre-trained Models.
ACM Trans. Softw. Eng. Methodol., November, 2023

Vulnerability Detection by Learning From Syntax-Based Execution Paths of Code.
IEEE Trans. Software Eng., August, 2023

PPT4J: Patch Presence Test for Java Binaries.
CoRR, 2023

Exploiting Library Vulnerability via Migration Based Automating Test Generation.
CoRR, 2023

PS<sup>3</sup>: Precise Patch Presence Test based on Semantic Symbolic Signature.
CoRR, 2023

C³: Code Clone-Based Identification of Duplicated Components.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

ACWRecommender: A Tool for Validating Actionable Warnings with Weak Supervision.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

AutoDebloater: Automated Android App Debloating.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Identify and Update Test Cases When Production Code Changes: A Transformer-Based Approach.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

CoLeFunDa: Explainable Silent Vulnerability Fix Identification.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

SkCoder: A Sketch-based Approach for Automatic Code Generation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning.
ACM Trans. Softw. Eng. Methodol., 2022

Correlating Automated and Human Evaluation of Code Documentation Generation Quality.
ACM Trans. Softw. Eng. Methodol., 2022

Poison Attack and Defense on Deep Source Code Processing Models.
CoRR, 2022

Automated unearthing of dangerous issue reports.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

C4: contrastive cross-language code clone detection.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Practitioners' Expectations on Automated Code Comment Generation.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Automating User Notice Generation for Smart Contract Functions.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020
Deep code comment generation with hybrid lexical and syntactical information.
Empir. Softw. Eng., 2020

DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019
Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018
Deep code comment generation.
Proceedings of the 26th Conference on Program Comprehension, 2018

Summarizing Source Code with Transferred API Knowledge.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016
Service-Oriented Resource Management of Cloud Platforms.
Proceedings of the IEEE International Conference on Services Computing, 2016


  Loading...